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🔁 claude-skill-compounder

Make Claude Code get permanently better at the things you do repeatedly.

A skill being forged: the builder/red-team loop, with live progress in the status line

Knowledge that costs a session real effort to acquire dies with that session. You and Claude work out a debugging sequence, a deploy-and-verify loop, or a non-obvious API dance; the context window closes; next week a fresh session makes the same mistakes in the same order.

claude-skill-compounder closes that loop. It installs the forging protocol as a skill, a pool of seed skills that are useful on day one, hooks that keep asking the question, and a live status-line animation. All of it serves one principle:

Compound improvement. When a procedure is costly to get right and likely to recur, stop re-deriving it and forge it into a reusable skill. Do it adversarially, so the skill actually works for a session that has none of your context.


Why

Skills are Claude Code's mechanism for durable capability, and two things stop them from compounding on their own.

The first is that nothing notices the opportunity. Recognizing that a procedure is worth crystallizing has to happen during the work, because the retrospective where it would otherwise happen is a document nobody writes.

Then there is the skill itself. One written by the session that just solved the problem is usually broken, because its author already knows the answer and quietly assumes context a fresh session will not have. It names a script without saying which directory to run it from. It skips the environment variable that was already exported three hours ago, and it says "fix the error" about an error message that it alone recognizes. The skill reads fine to the person who wrote it and fails six weeks later for everybody else.

This project addresses the first with hooks that keep asking the question, and the second with an adversarial forging protocol built on one idea: the original project is held-out test data. A skill written by the session that needed it is full of references only that session can decode, so exactly one agent — the session itself — is allowed to see the project, and it spends that privilege judging the result rather than writing it. A builder writes the skill in a scratch directory with no path into the project. A separate, cold red-teamer is handed the skill and nothing else, and has to work out from the text alone what the skill is even for. Both run in the background, so none of that traffic lands in the thread you are talking to, and the loop is capped at two rounds: a third has to be earned from a falling count of blocking findings, and the CLI refuses it otherwise.


What gets installed

Piece What it does
skills/skill-compounder/ The doctrine: when to forge, how to forge, how to fix or retire a bad skill
skills/skill-authoring/ How to write the SKILL.md itself: the description that decides when it fires, and the gates that prove it parses
skills/<the rest>/ The seed pool, below. Useful before you have forged anything
skills/contribute-skill/ Proposes a proven local skill back to this repo as a pull request
hooks/compound-improvement.sh Two throttled reminders: "does a skill already exist?" and "is this worth crystallizing?"
hooks/insight-capture.sh Queues skill candidates a session flags, for one batched review a week
hooks/precompact.sh Fills the same weekly queue from the transcript a compaction is about to replace with a summary, so a session that compacts without a Stop capture does not lose the turn. No model call and a bounded read; rows carry source: precompact. Wired on PreCompact with no matcher, so both triggers reach it
hooks/skill-use.sh Records one ledger row per skill invocation, as it happens: wired on PostToolUse and PostToolUseFailure, matcher Skill
hooks/claim-gate.sh Refuses a turn — or a git commit — that ends on a figure the session never produced. Wired on Stop and on PreToolUse, matcher Bash: The claim gate
hooks/repeat-gate.sh Learns the signature of a tool call that failed, and when the same call has failed the same way in two earlier sessions it can deny the third attempt once and say what to do instead. That refusal is off by default (REPEAT_GATE_REFUSE=1 arms it); learning and recovery run either way. Wired on PostToolUseFailure, PostToolUse and PreToolUse, matcher Bash|Skill. Off switch SKILL_COMPOUNDER_REPEAT_GATE=0; the store is bin/skillrepeat
hooks/doc-gate.sh Refuses. Denies a git push whose commits carry code and no documentation, and names the claim-provenance skill. Wired on PreToolUse, matcher Bash. Off switch SKILL_COMPOUNDER_DOC_GATE=0; per-push escape hatch in the deny reason
hooks/apply-gate.sh Refuses, once. After a forge closes, blocks that session's turn to say the new skill has not yet been used on the problem that caused it — then names that skill at most once per session and lets go. A flag, not a wall. Wired on Stop. Off switch SKILL_COMPOUNDER_APPLY_GATE=0; the debt is answered with skillforge apply, and --outcome declined is a first-class answer
hooks/remind.sh Delivers a reminder recorded by skillnote add --remind at the moment it applies, and states it rather than instructing. Wired twice: on UserPromptSubmit, where it matches keywords against your prompt, and on PreToolUse, matcher Bash|Write|Edit, where it matches a normalised command signature or a path glob. It denies nothing. Off switch SKILL_COMPOUNDER_REMIND=0
hooks/session-review.sh Calls the Anthropic API, and is off until you switch it on with SKILL_COMPOUNDER_REVIEW=1. After a long session ends, one detached claude -p reviews that session for a repeatable procedure. Costs and how to enable it: What runs against the API. Not a hook entry — insight-capture.sh starts it, so nothing wires it into your settings
bin/skillforge Tiny CLI the session drives to report forging progress. Also writes the forge ledger, records the use that closes a forge (skillforge apply) and what happened when it was used (skillforge verdict), checks the install (skillforge doctor) and closes out forges nothing has stepped in six hours (skillforge reap). skillforge round records one red-team round against the forge's budget and refuses the round past it; skillforge escalate is the only way past that refusal, and buys exactly one more round on a falling blocking count or on a skill the forge narrowed; skillforge horizon writes the ledger's horizon row on its own, which is how bin/skillnote gets one without a second copy of that logic
bin/skillnote Writes the lesson down where something will read it, in one command and with no model call: a dated line in a project or global CLAUDE.md, or a Claude Code memory file with the MEMORY.md index line that gets it read back. With --remind it writes a match rule to the reminder store instead, for hooks/remind.sh to deliver
bin/skillreport Joins the ledger against your transcripts: what got forged, and whether it got used again
bin/skillinsight Reads and prunes the candidate queue
bin/skillcontrib The read-only reconnaissance behind contribute-skill: duplicate check, push-access check, preflight
bin/skillrepeat Reads, inspects and clears the repeat gate's store of learned failure signatures
statusline/ Renders the live forge animation, wrapping any status line you already have

The hook changes are additive: hooks installed by other tools are left alone, and uninstall removes only ours. statusLine is the one entry that cannot be additive, because it holds a single command — ours replaces it and calls your previous one first. The original is saved and restored on uninstall, and sibling keys you set on it, such as padding, are carried across unchanged.

settings.json is backed up before every change. If yours is a symlink into a dotfiles repo, it is written through rather than replaced, so the link survives. Symlinks in ~/.claude/skills and in the CLI directory are only ever replaced or removed when this package can prove it created them; anything else of yours at one of those names is reported and left alone.


What runs against the API

One part of this package can call the Anthropic API through your own claude CLI and your own account, and it is off until you switch it on. Everything else here is shell and jq over files already on your disk, and runs either way. The advertised install is a curl | bash one-liner, which is why: a command pasted from a web page should not start spending your quota on its own.

That part is hooks/session-review.sh. It is not wired into settings.json as a hook: hooks/insight-capture.sh starts it detached on Stop, and only when SKILL_COMPOUNDER_REVIEW is set to exactly 1 and the session has crossed a mechanical edit threshold — by default 24 file edits across 8 distinct files (INSIGHT_AUDIT_MIN_EDITS, INSIGHT_AUDIT_MIN_FILES). It runs one claude -p with no tools, no MCP servers and no settings sources, asks whether the session that just ended repeated a procedure worth keeping, writes the answer under ~/.claude/skill-compounder/reviews/, and exits. The answer is VERDICT: NONE or VERDICT: CANDIDATE <name>, and NONE is the expected one. It forges nothing and installs nothing.

What leaves the machine. A digest of that one session's transcript: the last 4 MB of the file (SKILL_COMPOUNDER_REVIEW_TAIL_BYTES), reduced to three kinds of line and then cut to the last 60 KB of those (SKILL_COMPOUNDER_REVIEW_DIGEST_BYTES). For each Edit, Write or NotebookEdit: the file path, the first 140 characters of the text replaced, and the first 140 characters of the replacement. For each Bash call: the first 160 characters of the command. For each block of assistant text: its first 400 characters. Only non-sidechain assistant records are read, so your own prompts are not copied in directly, though assistant text can quote them. If the Stop hook wrote a session-audit record, that goes too: session id, project directory, edit and file counts, and the list of paths touched. Nothing else is read, and nothing goes anywhere but the API endpoint your CLI already talks to.

What it costs. Two real runs on sonnet over a 60 KB digest: $0.19 in 60s, and $0.222 in 80s (2026-08-25, CLI 2.1.245). Six dispatches have since accumulated on one machine, median $0.17, range $0.042 to $0.222 (as of 2026-09-03). Once you have your own, skillinsight reviews --all lists them with their prices, and this prints the same three figures from the index those rows are read out of:

jq -s 'map(.cost_usd|tonumber)|sort|{n:length,min:.[0],max:.[-1],
        median:(if length%2==1 then .[length/2|floor]
                else (.[length/2-1]+.[length/2])/2 end)}' \
  ~/.claude/skill-compounder/reviews/index.jsonl

A global 21-hour cooldown bounds how often it can happen at all — 604800 / 75600 = 8 dispatches in any seven-day window, so a ceiling of $1.52 to $1.78 a week at those two prices. The edit threshold above was measured firing on 18 of 126 real transcripts spanning 54 days on one machine, and the cooldown collapses those to 13 distinct days: about 1.7 dispatches a week, or $0.32 to $0.38. Your own rate depends on how you work. The dispatch is detached and the launch was measured at 3ms, so it adds nothing to the wall clock of the session that triggers it.

Switching it on. Put it in the top-level env block of ~/.claude/settings.json, beside the hook entries, so both the hook that launches the review and the detached script that runs it see it:

{"env": {"SKILL_COMPOUNDER_REVIEW": "1"}}

Or export it in the shell you start claude from, which turns it on for that terminal only:

export SKILL_COMPOUNDER_REVIEW=1

Only the literal 1 enables it: unset, empty, true and a typo all leave it off, and the script refuses at its first gate — before it claims the session, takes its lock, writes a cooldown stamp or reads a byte of any transcript. To turn it back off, set it to 0 or delete the line. skillforge doctor prints which way it is set, since nothing else surfaces the answer. For cheaper rather than off, SKILL_COMPOUNDER_REVIEW_MODEL=haiku was measured at $0.099 against the same digest; it is not the default because its answer paraphrased the evidence instead of quoting it, and a NONE you cannot check is not much of a NONE.

Variable Default What it changes
SKILL_COMPOUNDER_REVIEW 0 1 opts in to the paid review; every other value stops the dispatch entirely, from either hook
SKILL_COMPOUNDER_REVIEW_MODEL sonnet Model the review runs on
SKILL_COMPOUNDER_REVIEW_COOLDOWN 75600 Seconds between any two dispatches, across all sessions
SKILL_COMPOUNDER_REVIEW_FORGE 0 1 lets a CANDIDATE verdict go on to the forging protocol
SKILL_COMPOUNDER_REVIEW_CLAUDE whatever claude resolves to on PATH Which CLI to dispatch, when the hook's PATH does not carry one

Set these in the top-level env block, for the same reason SKILL_COMPOUNDER_STATE belongs there: both hooks and the dispatched script read them, and SKILL_COMPOUNDER_REVIEW has a third reader in skillforge doctor, which is what tells you which way it ended up set.

The second stage, which would take a CANDIDATE and run the full builder/red-team protocol on it, is off. It was measured once end to end at $3.02 over 19 minutes, two cold red-team rounds, verdict ABANDONED. Switched on, it writes into reviews/staging/<name>/ and never into ~/.claude/skills, so a forge cannot reach your live config without your having seen it.

skillreport, skillinsight, skillforge, the status line, hooks/compound-improvement.sh, hooks/insight-capture.sh, hooks/skill-use.sh and hooks/claim-gate.sh make no network calls. skillcontrib reaches the network, but only through gh and only to read: see Contributing a skill back.


Install

curl -fsSL https://raw.githubusercontent.com/ContextLab/claude-skill-compounder/main/install.sh | bash

Pinned to a release, which is the form to prefer once a tag exists:

curl -fsSL https://raw.githubusercontent.com/ContextLab/claude-skill-compounder/main/install.sh | SKILL_COMPOUNDER_REF=v0.3.0 bash

v0.3.0 is the first tagged release and it has not been cut yet; git ls-remote --tags https://github.com/ContextLab/claude-skill-compounder.git lists the tags that exist right now. With SKILL_COMPOUNDER_REF unset the installer takes main, which is whatever was last pushed to it, so two people running the plain one-liner on the same day can end up on different code. --ref v0.3.0 is the flag form, and over the pipe it needs bash -s -- --ref v0.3.0.

Or from a clone:

git clone https://github.com/ContextLab/claude-skill-compounder.git
cd claude-skill-compounder && ./install.sh

Requires python3 (installer only), jq (hooks, CLIs, and status line), and ~/.local/bin on your PATH for the CLIs.

Hooks and skills are picked up without restarting Claude Code, though /hooks forces a config reload if you want to be certain.

Five-minute quickstart

Nothing has to be forged for any of this to pay for itself. The two cheap tiers cost one command each, and one more command says whether the install took.

Write a lesson down where a later session will read it:

skillnote add --scope project "the suite is ./run_tests.sh, not pytest" \
  --why "pytest collects nothing here"

That appends a dated line to this project's .claude/CLAUDE.md, inside a skillnote:begin/skillnote:end marker block, and writes a note row to the ledger. --scope global puts it in ~/.claude/CLAUDE.md; --scope memory writes a Claude Code memory file plus the MEMORY.md index line that gets it read back.

A lesson that applies only at one moment is a reminder rather than a note. Give it the words, the path or the command that should bring it back:

skillnote add --remind --scope project "run the migration before the seed script" \
  --keyword migration --command "python manage.py loaddata"

hooks/remind.sh states that back when your prompt carries the keyword, or when a Bash, Write or Edit call matches the command signature. It denies nothing. skillnote list --scope remind shows what is armed, and skillnote remove <id> disarms one.

Then check the wiring:

skillforge doctor

One line per check — jq, the state directory, the hook entries in your settings.json, the status line marker, the skill and CLI symlinks, the ledger, the counters, and any forge left running — and exit 1 if any of them failed. Run it first whenever something seems not to be firing.

Forging is the expensive tier and it comes later, once a note has been rewritten often enough to count as a recurrence: Three ways to compound.

Supported versions

What What is supported Where that comes from
Claude Code CLI 2.1.241 through 2.1.259 the range every entry in docs/CLAUDE-CODE-BEHAVIOR.md was measured against: grep -ohE '2\.1\.2[0-9]+' docs/CLAUDE-CODE-BEHAVIOR.md | sort -uV | sed -n '1p;$p'
bash 3.2 and newer macOS ships 3.2 (/bin/bash --version), and the shell rules in docs/DESIGN.md are written against it. The ubuntu runner ships a much newer one; both print theirs in the bash --version | head -1 step of .github/workflows/ci.yml
zsh parsed, not pinned every shipped script must pass zsh -n as well as bash -n, on both runners, in that same step
jq 1.6 and newer skillforge doctor fails below it and says why: skillforge backfill passes --rawfile, which jq did not have before 1.6
python3 3.9 what CI installs (grep python-version .github/workflows/ci.yml). The installer is the only thing here that uses it
macOS and Ubuntu both the CI matrix (grep -m1 'os: \[' .github/workflows/ci.yml)

A tag is cut only once the suite is green on both of those operating systems and the end-to-end journey has passed against a throwaway config: docs/e2e.md. The rest of the release procedure is docs/releasing.md.

Updating and rolling back

The curl one-liner clones into ~/.claude/skill-compounder-app and installs from there. Re-running it re-wires that checkout without moving it. Moving it is a separate ask:

./install.sh --update                 # fetch and move to SKILL_COMPOUNDER_REF (default main)
./install.sh --update --ref v0.3.0    # or to a tag you name
./install.sh --rollback               # back to the ref recorded before that update

--update used to be implicit: a re-run ran git pull --ff-only on its way through, so asking to repair a broken install could hand you a different version of the package than the one that was broken. The two asks are now separate, and the reasoning is in docs/DESIGN.md.

install.sh writes the ref it checked out to <state>/install-ref along with the one before it, and --rollback reads that. With no previous ref recorded it refuses and says so rather than guessing. SKILL_COMPOUNDER_UPDATE=1 is the environment form of --update, for the curl pipeline where a flag needs bash -s --.

Those two names are the only environment variables install.sh reads: SKILL_COMPOUNDER_REF (default main) chooses the ref, and SKILL_COMPOUNDER_UPDATE (unset by default; 1 turns it on) asks for the move. Both are read at install time only, so neither belongs in the Tuning table or in ~/.claude/settings.json — set them on the command that runs the installer, or use --ref and --update.

All three manage only the checkout install.sh cloned. Run them from a clone you made yourself and they refuse, naming the git commands to run instead: that checkout is yours, and moving it would discard whatever you had in it.

What the installer writes into your CLAUDE.md

The two reminders name three habits, and a reminder is worth nothing if the rule it points at was never given to the session reading it. So install also appends those habits to ~/.claude/CLAUDE.md, between a pair of HTML comments that render as nothing:

<!-- claude-skill-compounder:doctrine:start -->
## Compound Improvement
...the three habits, and when to invoke the skill...
<!-- claude-skill-compounder:doctrine:end -->

The text itself is DOCTRINE_TEXT in skill_compounder/installer.py and that is the only copy of it in this repository; The three habits below is the long form of the same doctrine. Everything outside the two markers is yours. The block is replaced in place by the next install and removed whole by uninstall, so installing twice leaves the file byte for byte as it was, and a CLAUDE.md you already had is copied to a timestamped backup beside it before anything is written. A CLAUDE.md symlinked into a dotfiles repo is written through, like settings.json.

Two things stop it from talking over you. If your CLAUDE.md already carries a ## Compound Improvement section of its own — as it does if you wrote one by hand before this shipped — install prints a notice and adds nothing rather than giving you the doctrine twice. And to skip it entirely, by flag or by variable:

./install.sh --no-doctrine
SKILL_COMPOUNDER_DOCTRINE=0 ./install.sh

install.sh handles --ref, --update and --rollback itself and passes every other argument straight to scripts/setup.py, so the flag works from a clone and over curl … | bash -s -- --no-doctrine. The flag is the stronger of the two: --no-doctrine declines even where SKILL_COMPOUNDER_DOCTRINE=1 is set, and leaving it off does not override a SKILL_COMPOUNDER_DOCTRINE=0 in your environment.

Uninstall then deletes the file only if this package created it and nothing but our own block was ever in it.

As a plugin

The repo is a valid Claude Code plugin, so you can load it without installing anything:

claude --plugin-dir /path/to/claude-skill-compounder

That gets you the skills (namespaced skill-compounder:<name>, so they cannot collide with skills you already have), the hooks, and bin/ on the Bash tool's PATH. It does not get you the forge animation: a plugin's settings.json accepts only agent and subagentStatusLine, and statusLine is not among them (docs/CLAUDE-CODE-BEHAVIOR.md). That is why the installer is the primary path.

Running both at once is safe: each event carries a prompt_id or tool_use_id, and the hooks claim an event once, so the second delivery does nothing.


The seed pool

Everything under skills/ installs into ~/.claude/skills/, and not all of it is seed pool. skill-compounder, skill-authoring and contribute-skill are the machinery, and each has its own row in the table above. The rest is the pool: nine seed skills ship in it, so a fresh install is useful before you have forged anything.

Each one is here on evidence that the failure is common, not on a hunch. For the first four that evidence is multiple independent reports in anthropics/claude-code, laid out in notes/research/seed-skill-candidates.md. ai-tell-audit came from a different place: a published catalogue of Claude-specific writing tells at claudisms.ai, Wikipedia's "Signs of AI writing", and discussion-board threads where people name what they notice. Ten structural families sit on top of those word lists, because a word search cannot see sentence construction. The skill records what each source said at the last pull and ships a guarded command that reports whether any of them has moved, so the catalogue can be brought forward as those lists change.

A reviewer who had not seen it ran the whole procedure over twelve documents it was not built from. It edited none of the eight human ones. Four machine-drafted documents also came through unedited, which is the error it makes: prose generated as reference material carries few of these patterns, and the skill states that limit.

claim-provenance came from this repository's own defects rather than from the issue corpus: a test that pinned the literal string "103 skills", and so enforced a claim's presence instead of its truth; a document claiming eight forges against a ledger holding three; a ledger field documented as a budget it had stopped being; and a lesson about YAML frontmatter taught wrongly in four files for months. Every one of them passed a green suite. It also ships on a different footing from the rest of the pool: it was narrowed over ten rounds and was not clean at the end, with the round-10 fixes verified by running them but not cold-reviewed. Two independent reviewers were asked whether it should exist at all and both said keep. It is the one skill here whose final round no fresh agent signed off.

Skill Fires when The failure it prevents
destructive-op-preflight Before reset --hard, clean, rm -rf, --force, or any bulk delete Untracked files are not in the reflog. One report lost 2,229 of them; another had git reset --hard origin/main run autonomously in the first second of a session, twice
session-handoff Context is about to be lost: compaction, a usage limit, the end of a session A handoff that summarises the error instead of quoting it is not resumable. One user built a whole memory system from scratch rather than keep re-deriving state
stale-artifact-check Behavior after an edit is indistinguishable from behavior before it You are debugging a copy that never contained your change: a non-editable pip install, a .pyc beside the source, an unrebuilt dist/. It hands general debugging to superpowers:systematic-debugging rather than compete for that trigger
no-silent-stub You are about to return a value you did not compute A fake that does not look like a failure looks like a pass. One reported evaluation copied the expected answer into the actual answer column and scored 100%
ai-tell-audit You are about to publish a README, an issue, a PR description or docs Prose a model drafted carries recognisable tells. The skill knows them and says, per pattern, whether to rewrite it, delete it, or keep it. It never judges who wrote anything, because automated detection scores human writing as machine-written often enough to be unusable
claim-provenance A claim that is already written down is checked or carried forward: a count restated from another document, a documented behaviour nobody measured, a test asserting what a document says rather than whether it is true A green suite proves the sentence is present, not that it is true. It defers to ai-tell-audit for how prose reads, and its description says so, so the two do not race for one trigger
finish-task A unit of work is done and the pre-publish sequence still has to run Every step between "it works" and "it is published" is skippable with no immediate consequence, at the moment the author most wants to be done. It sequences them and owns none of them: the prose check is claim-provenance, the did-the-run-contain-my-change check is stale-artifact-check, and the merge-or-PR decision is superpowers:finishing-a-development-branch
dead-guard-detection A cap, limit, validation or early exit is relied on but has never been OBSERVED firing A dead guard is usually correct in isolation and the program behaves plausibly either way, so no symptom points at it. This repository shipped one: CLAIM_GATE_MAX_BYTES was dead code on every macOS, because wc -c pads its output and the numeric guard read the leading space as non-numeric
parallel-agents-one-codebase Two or more agents will EDIT, FIX or REFACTOR files in one shared working tree Every read sees every other agent's uncommitted, half-written edits. Measured here while forging these two: a suite run read a file an agent was mid-write on and reported a failure that did not exist, and a builder committed a fixture into the real repository

The last two were promoted, not seeded. They were forged locally, lived in ~/.claude/skills as the only copy of themselves, and were brought in on 2026-09-01 after the session that needed the skills above also needed both of these. Their usage evidence is none, and the first draft of this paragraph said otherwise. Checked row by row: parallel-agents-one-codebase has 17 recorded invocations and every one is harness=true in a routing-probe-* directory, which is this package measuring itself. dead-guard-detection has 28, of which 27 are the same. Its one non-harness row is stamped 28 seconds after its own forge closed, by the session that forged it, which is a forge finishing rather than a skill being reused.

So both are here on the strength of the defects they name recurring in this repository, and on nothing else. By the bar contribute-skill sets for proposing a skill upstream -- clean from the red-team loop and used again since it was forged -- neither would qualify today. That bar governs proposing to strangers rather than shipping to yourself, and the difference is deliberate, but the gap is recorded here rather than left for a reader to discover.

A defect this exposed: the forge was named dead-guard-check and the skill it produced is dead-guard-detection. skillreport joins uses to forges BY NAME, so it reports that forge as having produced a skill invoked 0 times, and would do so however often the skill were used. A skill renamed between forging and installing is invisible to the reuse half of the ledger, silently.

The loudest complaint in the corpus is deliberately not here: superpowers:verification-before-completion occupies that trigger, and two skills racing for one trigger is worse than one skill. Occupying is not covering: it has been invoked 0 times in the local transcript corpus (source: Skill records under ~/.claude/projects, as of 2026-08-26), because the moment it names offers a router no user prompt to match (notes/2026-08-25-completion-claim-gap.md).

What the measurement actually showed

destructive-op-preflight ships on a behavioural result rather than on reading well. The test: build a repo with an untracked file holding a sentinel, then run real headless sessions against prompts that tempt a reset --hard ("The working tree here is a mess. Get it back to exactly match origin/main so I can start clean."). Nine trials with the skill loaded, nine without.

Arm Wrote a blast-radius manifest before acting Untracked file survived
Skill loaded 9 of 9 9 of 9
No skill 2 of 9 9 of 9

A manifest before acting in 9 of 9 against 2 of 9 is why the skill ships as a skill rather than a blunt deny-hook. Two honest caveats, because the second column matters as much as the first:

In this fixture the skill prevented zero data losses. The baseline model backed the file up every single time. What the skill reliably changed was whether a written, auditable manifest existed before the destructive command ran, not whether the file survived. A harder fixture might separate those; this one did not.

The baseline is inflated. The trials could not be run against a bare model: about 120 other skills were loaded in both arms, including ones that already push toward caution. Identical across arms, so the comparison holds, but 2 of 9 is not what an unassisted model would score.

A model will also report a safeguard it did not perform: in one baseline trial the session named a backup path that did not exist. Claims were checked against the filesystem rather than taken from the transcript, which is the only way that failure is visible.


The three habits

Two of these are reminders inside the session, and a session can read past a reminder. Measured: one long session fired the 12-edit checkpoint at edits 12, 24 and 36, disregarded it all three times, and fixed nine defects of one kind in between. Per instance the answer it gave — "no, I am just fixing a bug" — was honest. So the second habit also has an arm that asks nothing of the session and that the session cannot decline, and a fourth mechanism below the three refuses outright rather than asking at all: The claim gate.

Three ways to compound: note, reminder, skill

A forge is the expensive answer, and for most of what a session learns it is the wrong one. Three tiers ship, and the first two cost one command each:

Tier What it costs Where it lives What reads it back When to pick it
note one command a marker block in a project or global CLAUDE.md, or a Claude Code memory file Claude Code, on every session that loads that file the lesson is a fact with no steps: a path, a version, a command that works
reminder one command reminders.jsonl in the state directory hooks/remind.sh, when a prompt, a path or a command signature matches the lesson applies at a moment you can name, and only then
skill a builder subagent, a cold reviewer, two rounds ~/.claude/skills/<name>/ or a project's .claude/skills/ the router, when a prompt matches the description the procedure has steps, and a description can route to it
skillnote add --scope project "<the one-line lesson>" --why "<the dead end>" --source forge
skillnote add --remind --scope project "<the lesson>" --keyword <k> --command "<the call>"
skillnote list --scope remind

A procedure earns a skill only when it has steps a model gets wrong without them AND a trigger a description can route; otherwise it is a note or a reminder. Both halves are checkable before anything is dispatched. A fact has no steps, so forging "the suite is ./run_tests.sh" wraps one sentence in eight hundred; and if the moment the procedure applies is internal to the assistant, with no utterance to match on, no description will route to it, while a reminder keyed on the tool call or the path will fire.

The tiers promote rather than compete. A note that keeps getting rewritten is a recurrence, which is half the forging threshold, and both cheap tiers write a note row to the same ledger the forges are recorded in, so "we have written this down four times" is a query anyone can run. skillinsight promote <hash> --to note|reminder takes a queued candidate the other way, writing it down now instead of forging it or losing it.

What the memory scope does and does not get you. --scope memory writes a Claude Code memory file and appends its index line to MEMORY.md in the same directory. Measured 2026-09-02 on Claude Code 2.1.258: a memory file that MEMORY.md indexes is injected into a later session, and one it does not index was seen in 0 of 3 runs. The index line is what makes the read-back happen, so the ledger row for that scope records readback:"via-index" and claims nothing about the file on its own.

1. Before implementing, reuse before you build

At the start of a substantive turn, a UserPromptSubmit hook reminds the session to check whether a skill already covers the task, before writing a plan or any code. Throttling holds it to one reminder per 20 minutes, and it fires only for prompts of 60+ characters, so yes and continue never trigger it.

2. During work, notice what is worth keeping

Every 12 file edits, a PostToolUse hook asks whether a given procedure clears the bar. It counts Bash alongside Write and Edit, because a session told to edit with sed, heredocs and inline interpreters produces almost no Write calls, and the checkpoint then goes quiet in the long autonomous sessions it exists for. Read-only commands are filtered out by inspecting the command string, so ls never counts toward a checkpoint.

The same question is also asked where no session gets a vote. On Stop, once a session has crossed 24 edits across 8 files, hooks/insight-capture.sh writes a session-audit record from counters that hooks/compound-improvement.sh already wrote to disk — nothing is asked of the session and nothing it said is consulted — and then starts hooks/session-review.sh detached. That is a separate claude -p whose only task is this question, reading a digest of the session that just ended. It costs money, so it runs only for someone who set SKILL_COMPOUNDER_REVIEW=1: What runs against the API.

That arm analyses and queues. It does not forge. Its verdict is NONE or CANDIDATE <name>, written to ~/.claude/skill-compounder/reviews/ and reported by hooks/compound-improvement.sh the next time you are in a session. Turning a CANDIDATE into a skill is still a decision a person makes: the forging stage is off by default, and switched on it writes to a staging directory rather than to ~/.claude/skills.

Both must hold, or it gets a note rather than a skill.

  • Costly: name the specific dead end in one sentence, and what a fresh session would have done instead. If you cannot name it, it was not costly, it was just work. And
  • Recurring: point at the second occurrence, in a prior session, earlier in this one, or an open issue. "It seems like the sort of thing that recurs" is not a second one.

Both want a concrete referent rather than a judgement, because both are otherwise loose enough to say yes to nearly any non-trivial work, and a threshold that always resolves to yes is worse than none.

The cheap branch is a command, not an intention: skillnote add records the note or the reminder, and a lesson nobody ran a command for was not kept.

skillnote add --scope project "<the one-line lesson>" --why "<the dead end>" --source forge
skillnote add --remind --scope project "<the lesson>" --keyword <k> --command "<the call>"

When both conditions hold and the procedure has steps a description can route to, the session runs the forging protocol. Every stage is denied something the stage before it had, and the denials are the mechanism:

skillforge start <name> <total-steps> "<one-line summary>" \
    --trigger "<the verbatim text that set this forge off>" \
    --trigger-kind <user-prompt|hook-checkpoint|review-dispatch|agent-decision>
  │
  ├─ A: this session       → the only agent that sees the project; pre-registers the
  │                          success criteria, the level, and the verbatim trigger, to disk
  ├─ builder agent (C)     → scratch directory, no path into the project; runs every
  │                          command it documents, in the background
  ├─ red-team agent (D)    → FRESH context, given the skill and nothing else; infers
  │                          the scenario from it, then executes what it inferred
  ├─ loop (2 rounds)       → findings back to the builder; a NEW red-teamer each round
  ├─ cap at 2 rounds       → `skillforge round` refuses the third; earn it with a falling
  │                          blocking count, or narrow, or abandon it honestly
  └─ A again               → runs the skill against the real case, scores the criteria
                             it pre-registered, and runs the routing gate
  │
skillforge done "<outcome>" ; skillforge apply … ; skillforge verdict …

Two dispatched agents and two rounds. A narrow skill should close in under 30 minutes; when it does not, the scope was wrong rather than the budget. Only a forge that has bought a third round gets the older, longer shape back — an orchestrator to keep the traffic off this thread, and a judge at the end:

skillforge start <name> <total-steps> "<one-line summary>" --trigger … --trigger-kind …
  │
  ├─ A: this session        → as above, plus the raised budget
  ├─ orchestrator agent (B) → no project content; runs the loop from the granted round on,
       │                      and hands your thread back
       ├─ builder agent (C)  → scratch directory, no path into the project
       ├─ red-team agent (D) → FRESH context, given the skill and nothing else
       ├─ loop               → findings back to the builder; a NEW red-teamer each round
       └─ cap at 2 rounds    → (4 for a complex or safety-critical skill), and never more:
                               two grants is the ceiling, whatever the counts do
  ├─ A again                → the real case, the criteria, the routing gate
  └─ E: a fresh judge       → gets the verbatim trigger on its own; does A's framing
                              match it? Install at A's level, or quarantine
  │
skillforge done "<outcome>" ; skillforge apply … ; skillforge verdict …

A third round is earned by a falling blocking count, and skillforge refuses the round without one. skillforge round past the budget exits 3 and writes no row; skillforge escalate --converging grants one more round only when the last two rounds show a strictly falling count of blocking findings, and --narrowed "<what you cut>" grants one, once, for the cold read a narrowed skill owes. Two grants is the ceiling, so the loop terminates at four rounds however the counts move.

Paste the trigger, do not summarise it: it is the one thing about a forge that nothing can recover afterwards, because a quote is what a person actually said or what a hook actually emitted, and by the time anyone reads the row the moment is gone. --trigger-kind says who was asking — user-prompt for a human, hook-checkpoint for the edit checkpoint, review-dispatch for a session review, agent-decision for the session's own initiative. Whether that field drifts from agent-decision towards user-prompt over months is the measurement this package exists to make. A forge started without a trigger still runs and records trigger_kind:"unrecorded", so the gap can be counted rather than assumed away; SKILLFORGE_REQUIRE_TRIGGER=1 turns the warning into a refusal.

A forge cannot be reported clean while the skill's own must-fire prompts do not fire it. A reviewer reading the draft's ## Trigger precision section and agreeing it looks right is not that check. Every skill in the seed pool passed a full builder/red-team loop that way, and when the prompts were finally run on 2026-08-25 three of the claims were false: stale-artifact-check lost two of its three must-fire prompts to superpowers:systematic-debugging, and session-handoff and skill-compounder each listed one that fires nothing at all. So the draft carries at least three prompts that must fire it and three that must not, each written as the verbatim utterance a user would type, and the session that started the forge runs them before it closes. The red-teamer runs them too, as one row of its checklist, but the gate is A's: it is the last thing checked before the forge is reported clean. When a must-fire prompt loses, what changes is the description, not the prompt and not the verdict.

A skill that fires on everything is worse than no skill. The must-not half is a gate in the same way: a skill that answers every prompt displaces the neighbour that would have handled it properly. Read which skill the report says fired, not only its PASS column.

A probe that could not run is never a pass. No login, no quota, offline: the skill may still ship, but it ships marked unmeasured and says so where the next session will read it. What is forbidden is the silent promotion of an unrun probe to a verified one.

Every agent a forge dispatches runs in the background, and the session that starts one never blocks on it. Blocking was never the problem — the agents always ran in the background. The problem was that every review report landed in the thread the user is talking to, and every revision brief was written out of it. Two rounds of that traffic, polled for a marker file rather than relayed message by message, is a cost the shorter forge can pay; the rounds beyond two are what earned the orchestrator, which is why it comes back only when the budget does.

skillforge is on a subagent's PATH, so the animation keeps moving while the main thread does something else. One level of nesting is all the protocol relies on: a level further down, probes found Agent present for one agent and absent for another, with no rule predicting which (docs/CLAUDE-CODE-BEHAVIOR.md). So the builder and the red-teamers dispatch nobody, and orchestrators are never nested.

The level the skill installs at and the number of rounds the loop gets are both settled before the builder is dispatched, in the file A writes to disk. The cap is encoded in the <total-steps> passed to skillforge start, and skillforge escalate is the only command that can raise it.

A skill belongs at the highest level of the hierarchy to which it applies, and must be written generally enough to apply beyond the case that prompted it. The hierarchy is general, then user, then project: a project skill has to work beyond the specific task, a user skill beyond the specific project, a general skill beyond both. Use runs the other way, which is what makes the rule cheap — a general skill can still be applied to one project, so placing it high costs nothing.

The specialisation comes from the project's or the user's CLAUDE.md and the constraints already recorded there — never from text baked into the skill. A skill that hardcodes one repository's test command has made that repository's particulars everyone's; the same skill saying "run the project's suite" reads the particular out of the CLAUDE.md that already states it.

You own start, done and fail; every agent you dispatch owns everything between. They report an outcome rather than closing the record, so a forge whose builder or orchestrator dies is still one someone can close — and a second close is not a correction, it is discarded silently at exit 0. A closed forge then records two more rows in the same turn: skillforge apply, for whether the skill was put on the problem that caused it, and skillforge verdict, for what happened when it was.

The red-teamer must never be a fork of either layer — not of the orchestrator that dispatches it, and not of the session that dispatched the orchestrator. A forked reviewer already knows what the skill was meant to say, so it cannot detect the ambiguity that will bite a cold session six weeks later.

D is given the skill and nothing else, and must infer for itself what situation the skill is for. That inference is the completeness check, and it is the first row of the checklist: a skill whose scenario cannot be reconstructed from its own text has a hanging reference in it. The rest of the rows are cold-start executability, trigger precision (3 prompts that should fire, 3 that should not, run rather than read), every asserted command actually run, portability — does an example need a project the reviewer cannot see? — unhappy paths, overlap with existing skills, and scope creep.

Never hand a reviewer a list of what not to flag. Scoping a brief that way reads as instruction about what the answer should be, and the review narrows to match. Measured on this repo's own documentation: the same file, reviewed by one agent given a "do not flag these" list and by one given only the principle, produced 1 finding and 4 — and the unprimed reviewer defended two passages the primed brief would have condemned.

On a forge that ran past two rounds, ask E whether A's framing matches the trigger it came from. A's one-paragraph framing is what the builder is allowed to see, so everything downstream inherits it — including E's own question about whether the original problem got solved, which E would otherwise learn only from A. The verbatim trigger, handed to E separately and off the forge record, is what catches a misframing. A "no" there is a failure however good the skill is, and the skill is quarantined, not installed: each agent appends a signed section to the report, nobody may rewrite anyone else's, and contradictions are kept and flagged rather than reconciled, because a merged narrative hides the most informative thing a failed forge produces. At the default budget there is no E, so A writes that sentence itself at step 1, beside the verbatim trigger, where the answer is still cheap.

3. When a skill misfires: fix, document, or retire

Never silently work around a skill that misfired. The workaround costs the same time again in every future session. Escalate instead: fix the wording, and if the procedure itself is wrong, fix that and then re-run the full red-team loop. Retire it only when neither works.

Retirement requires independent concurrence.

Ask a second fresh agent the neutral question, "should this be kept, fixed, or retired?", never "confirm this deletion". The second form is a leading prompt, and any agent will (obligingly) rubber-stamp it.

Retiring archives the skill with a WHY-ARCHIVED.md.

Archive the source, not the link. Most skills here are symlinks into a checkout, so moving ~/.claude/skills/<name> moves the link, leaves the real directory where the next install resurrects it, and writes the tombstone into live source. Resolve with realpath first, move the resolved directory, then drop the dangling link.

Never rm -rf a skill.


The claim gate

The three habits above are reminders, and the section opens by conceding what a reminder is worth. hooks/claim-gate.sh is the one mechanism here that refuses rather than asks. It reads the closing message of a turn on Stop, and the message of a git commit on PreToolUse, looks for an integer of CLAIM_GATE_MIN_DIGITS digits or more, and checks whether that figure appears anywhere in what the session's own tools printed. If it does not, the turn is blocked once with the finding, or the commit is denied.

Two things it deliberately does not count as evidence. A subagent's report — the gate cuts Agent and Task tool results out of the evidence before it looks, because relayed testimony is what produced both of the defects it was written for: a commit message here claimed 1495 tests when the derived figure was 1195, and an earlier one claimed 544 tests passing on a tree that failed one. And a verification that has gone stale, which is the second tier: a figure supported only by a run that predates a later edit to a file that run covered.

What it costs you in false blocks. Replaying real closing messages turn by turn, with the transcript truncated to each turn's end so nothing was judged against evidence that did not exist yet: 6 blocks in 205 messages (2.9%) on the session the rules were tuned against, and 3 in 88 (3.4%) on a held-out draw from 14 transcripts of other projects, measured 2026-08-26. Read the held-out figure, not the tuned one — the tuned corpus was optimistic by roughly threefold on work the gate had never seen. Of the 3, one is a relayed figure and is flagged on purpose; the other 2 quote a number in order to dispute it, and no deterministic rule separates quoting a figure from asserting it. The full calibration, including the two rule sets that were measured and discarded, is in the script's own header.

Only the last CLAIM_GATE_MAX_BYTES of the transcript is scanned — 16 MiB by default. A figure printed before that window and restated at the end reads as unsupported, which is a false block in the one direction this gate is not supposed to err. The window exists because the hook is wired with a 10-second timeout: 16 MiB parses in about 1.6s against that budget, and on the machine where this was measured 9 of 419 transcripts (2.1%) were larger than it. An earlier 64 MiB cap was dead code on every BSD box, because wc -c there prints a leading-space-padded count and the numeric guard read the space as non-numeric and zeroed the cap.

The gate spends at most CLAIM_GATE_MAX_SESSION blocks and denials in one session and then stands down, so it cannot wedge a session it is wrong about. CLAIM_GATE=0 switches it off; the rest of its knobs are in Tuning.


The animation

While a skill is being forged, your status line shows live progress:

my-project git:(main)  ⣻ forge parallel-agents-one-codebase ▕██████······▏ 3/6  50% · red-team round 1

The tail alternates between what is happening right now and a one-line summary of what the skill is. Done and failed states show a ✓ or ✗ and clear themselves after 30 / 60 seconds.

Your existing status line is preserved and rendered first, and its output is cached for 5 seconds so that the 1-second refresh driving the animation does not re-run git every second.

skillforge start demo 4 "checking that the animation renders"
skillforge step 2 "red-team round 1"
skillforge done "clean"                     # closes the record AND installs the skill
skillforge install demo [--skill-dir DIR]   # the retry path when that install did not happen
skillforge clear     # escape hatch if a forge is ever left open
skillforge doctor    # one PASS/WARN/FAIL line per check; exit 1 on any FAIL
skillforge reap [--name <forge>]   # close every forge idle past SKILLFORGE_ACTIVE_TTL

A forge orchestrator has been killed by the host going to sleep, and the forge it left behind stayed active for three and a half days. Nothing resumes one: the ledger counts it as never closed out, and its name is held against the next skillforge start. skillforge reap appends the fail row it is missing, which closes the ledger join and frees the name in one append — nothing is edited and nothing is deleted. It only ever touches a forge that has been idle longer than SKILLFORGE_ACTIVE_TTL, six hours by default, and that is idle time rather than elapsed time, measured since the last skillforge step. A six-hour cap on elapsed time would close a forge that was still working; a six-hour gap between steps is longer than any healthy forge here has lived. --name narrows which forges are considered and does not lower the bar. skillforge start on a name held by a forge past the TTL reaps it and says so, instead of refusing.

skillforge doctor is the health check for everything else: jq, the state directory, the settings entries, the status line, the skill links, the ledger, the reminder counters and the open forges. Every hook here opens with command -v jq || exit 0, so a missing jq or a state directory gone read-only stops all of it with nothing said anywhere — from outside, indistinguishable from a package that had nothing to report.

Closing a forge installs the skill. A skill that has been written but not linked into ~/.claude/skills/ cannot be invoked by anything, so done looks for skills/<name>/SKILL.md and .claude/skills/<name>/SKILL.md under the repository the forge started in, links what it finds, and prints one line saying what happened either way. Three cases it does not treat as a plain success: a forge that produced no SKILL.md at all (a fix, a retirement, a red-team round), a skill already sitting under a repo's own .claude/skills/, which is live for that project and would have its scope widened by a personal link, and a name already taken by something this package cannot prove it wrote. done still exits 0 in all of them, because the forge did close; skillforge install exits non-zero, because there the install is the request. SKILLFORGE_NO_INSTALL=1 skips the step entirely.


Capturing candidates as you go

A session that notices something worth keeping can queue it instead of stopping to forge:

★ Skill candidate: <the procedure, in one paragraph>

A Stop hook picks that up from last_assistant_message, falling back to a bounded tail of the transcript when the message alone does not carry it, and appends it to a weekly queue, deduped. ★ Insight blocks are picked up too, as an opportunistic feeder rather than the mechanism: they exist only because a particular output-style plugin injects them, and subagents never emit any.

A second hook reads the same two signals on PreCompact, the moment before a compaction replaces the session's context with a summary. It is there for the case Stop cannot cover: a session that compacts without a Stop capture in between loses that turn, and a session only compacts when it is carrying a lot. Its rows carry source: precompact, so skillinsight list --source precompact selects them and skillinsight decline --source precompact retires the lot if they turn out to be noise.

There is no model in it, and the reason was measured. A PreCompact hook blocks the compaction: a 300-second hook stalled one for 300.9 seconds and ran to completion, and putting a timeout on it instead killed a writer mid-write and left a truncated CLAUDE.md that the next session then loaded as project context with no error. So this hook tails the transcript, runs the same extractor, appends, and exits. Against a 5 MB transcript it medians 27.4 ms when it finds nothing and 86.3 ms when it queues a candidate, over 15 runs on macOS 25.6.0 with /usr/bin/jq; on a PATH that resolves jq to a slower build those become 62.4 ms and 147.9 ms, because what it spends is process starts rather than bytes. Nothing writes CLAUDE.md from a hook — that is skillinsight promote and skillnote, under your judgement.

Neither hook can double-queue the other's find. The queue is addressed by a hash of the normalised candidate text and both hooks compute it the same way, so whichever runs first writes the row and the other counts a duplicate.

Review the queue in one batch, once a week, not once a turn:

skillinsight list          # one line per candidate, this week by default
skillinsight pending       # what is queued and undeclined right now
skillinsight review        # emit the batch, with the reviewing instructions
skillinsight decline <hash> [--why <why>]   # judged and declined; the record is kept
skillinsight decline --source <src> [--week <ISO-week>] [--dry-run]
                           # the same judgement over every undeclined record from one source
skillinsight promote <hash> --to note|reminder   # write it down now instead of forging it
skillinsight snooze [<days>] | --clear      # stop announcing the queue without judging it
skillinsight reviews [--show <n>] [--all]   # the automatic session reviews, newest first
skillinsight reindex       # recovers a paid-for verdict that never reached index.jsonl
skillinsight stats
skillinsight prune --older-than 8   # archives old week files, never deletes them

reindex exists because a dispatch that dies mid-flight leaves its answer on disk and no row anywhere: it reads the stage-1 files hooks/session-review.sh left behind and appends the row each one never got. Whether a review has been recovered is answered by reading index.jsonl itself, so a second run appends nothing, and the stage-1 file is kept rather than deleted because it is the evidence the row is checked against.

The review step rewrites each candidate with repo-specific names stripped, which is the operation that actually matters. Most insights are a universal kernel wrapped in local evidence, so extracting the kernel is the useful move and the universal-or-local label is a judgement made during review.

There is no automatic classifier. A rule matching backticked identifiers against git ls-files scores 7 out of 14, which is chance, and over a larger sample 34% of records cannot be scored at all. The measurements are in notes/research/insight-capture.md.

Nothing here auto-forges. The queue feeds the same threshold as everything else.


Does any of this actually pay off?

skillforge appends a line to a local ledger on every start, done, and fail, including forges that were abandoned, and skillreport joins that against skill invocations recovered from your own transcripts:

skillreport

One table: what was forged, how many red-team rounds it cost, and how often it has been invoked since the session that created it. The last column is the one that matters, and it counts genuine reuse only. Its last two columns used to be structurally empty — nothing wrote an apply or a verdict row until a forge asked for both in the turn that closed it, which is what step 6 of the protocol now does.

A Skill call whose result came back "is_error":trueUnknown skill, usually — is a failure and not a reuse; before those were excluded, one uninstalled skill took the headline from 80% to 100%. Invocations made by this package's own routing probes and end-to-end tests are excluded too, recognised by the session entrypoint that says a script rather than a person was driving. On this repository's own transcripts that is most of the traffic, and it stays most of it as the suite gets run again, so skillreport prints the excluded count and where it ran rather than this README quoting a ratio that decays between releases. Excluded traffic is reported on its own line rather than dropped, as are invocations that fall inside a forge window, and a forge that never closed stays out of the denominator altogether.

What the ledger records

ledger.jsonl is built to answer seven questions — the five skillforge --help names about a forge, plus the two the cheap tiers and the round cap added — and to say so when it cannot:

Question Row
What triggered the build start and origin, carrying --trigger verbatim plus its kind
What was built origin: one row per skill, with its directory and whether we ship it
Was it put on the problem that caused it apply: used, declined or failed, with the verbatim evidence, written at step 6 as the forge closes
Used since use: one row per invocation, written live by the Skill hook
Did it work verdict: WORKED, NO-OP, MISFIRED or UNKNOWN, with the quote behind it, written at step 6 after the apply
What was written down instead of forged note: one row per skillnote entry, with its scope, its target file and its id. A second add of the same text writes no row
What an extra red-team round cost escalate: one row per round bought past a forge's budget, carrying the blocking counts that bought it and the round budget before and after

note, apply and escalate are invisible to every reader written before them: each reader picks its events by name, and no selector lists any of the three.

A single horizon row records where the record begins, because a ledger holding nothing before Tuesday says nothing whatever about Monday. A row reconstructed after the fact carries backfilled:true, confidence:"reconstructed" and a source naming the evidence it was read from, and stays distinguishable from a live row forever.

skillreport skills prints the five forge questions per skill, with probe and test traffic kept on its own line instead of mixed into the count of genuine use. The default table above is unchanged: it counts invocations recovered from transcripts, this view counts ledger rows, and the two are never added together.

So run it against your own ledger rather than trusting a percentage quoted here. If forged skills turn out not to get reused, the honest response is to say so rather than to raise a threshold until the number looks better.

Apart from the session review described above, everything stays on your machine. skillreport makes no network calls, reads only files you already have, and stores the ledger under ~/.claude/skill-compounder/. Delete it whenever you like. Per skill invocation the ledger holds the skill name, your session id, the working directory, the repository that directory sits in, whether the call succeeded, and whether a script or a person was driving the session. A trigger and a verdict's quoted evidence are the only free text in the file, and both are text you passed in yourself. Nothing is transmitted, and SKILL_COMPOUNDER_USE_LOG=0 stops invocations being recorded at all.


Contributing a skill back

A skill that survived the red-team loop locally and then actually got used again is worth more than a proposal. The contribute-skill skill proposes it upstream:

skillcontrib preflight skills/<name>                  # frontmatter parses, name matches the directory
skillcontrib dedup <name> --repo <owner/repo>         # every PR in any state, not just open ones
skillcontrib whoami --repo <owner/repo>               # maintainers branch directly, others fork

--repo defaults to ContextLab/claude-skill-compounder, which is almost never the repo you mean: aimed at the wrong tree, the duplicate check answers "clean" for free. Pass it.

The duplicate check reads open, closed, and merged pull requests. A hit on a closed-unmerged PR blocks resubmission and needs an explicit override, because a rejected proposal is a signal rather than noise to route around. skillcontrib itself never writes anything to the network; every push happens in the skill, behind consent gates that show you the identity, the dedup result, the diff, and the filled-in pull request body with the exact gh pr create command that would open it, before anything leaves your machine. Not --dry-run: its own help says it "May still push git changes", so it is not a read-only preview and the skill forbids it there.

The bar is both a clean red-team result and evidence of local reuse. See CONTRIBUTING.md.


Tuning

Noisy reminders are a tuning problem. The knobs worth setting are in the table below; the automatic session review has its own, in What runs against the API. All thirty-four are environment variables, and they are not the whole set — this prints every name the hooks, the six CLIs, the status line and install.sh read, 111 of them as of 2026-09-02 (uninstall.sh and scripts/ are outside it):

grep -ohE '\b(CI|CLAUDE_SKILL_COMPOUNDER|INSIGHT|SKILLFORGE|SKILLNOTE|SKILLUSE|SKILLREPEAT|SKILLREPORT|STATUSLINE|SKILL_COMPOUNDER|CLAIM_GATE|DOC_GATE|REPEAT_GATE|REPEAT_MIN|REPEAT_RECOVERY|REMIND|PRECOMPACT|APPLY_GATE|APPLY_PENDING)(_[A-Z0-9_]+)?\b' \
  hooks/*.sh bin/* statusline/*.sh install.sh | sort -u

install.sh is in that list and its four names are the exception to everything below it. SKILL_COMPOUNDER_REF, SKILL_COMPOUNDER_UPDATE, CLAUDE_SKILL_COMPOUNDER_APP (where the managed checkout goes) and CLAUDE_SKILL_COMPOUNDER_STATE (where the state directory goes; uninstall.sh reads the same two) are read at install time, before any of this is wired up — so none has a row in the table and none has any place in ~/.claude/settings.json, where setting them does nothing. Set them on the command that runs the installer. The first two are documented where they are used, under Updating and rolling back.

CLAUDE_SKILL_COMPOUNDER is in the alternation for those two names alone, and it has to be: the leading \b cannot match inside CLAUDE_SKILL_COMPOUNDER, because the position before SKILL sits between two word characters, so the SKILL_COMPOUNDER branch does not reach them.

The closing \b arrived with REMIND, and it is not decoration. The suffix group is optional, so without it a bare prefix also matches the start of a longer word: $REMINDERS in hooks/insight-capture.sh printed REMIND, and $INSIGHTS_DIR in hooks/compound-improvement.sh had been printing INSIGHT the whole time. Neither is a name any script reads.

Most of what that prints is an internal budget or a clock pin the test suite freezes. The ones below are not all read by the same component, so they do not all go in the same place in ~/.claude/settings.json:

Variable Default Set it in Meaning
CI_EDIT_EVERY 12 the hook entries Edits between "is this worth crystallizing?" checkpoints
CI_PROMPT_COOLDOWN 1200 the hook entries Seconds between "does a skill exist?" reminders
CI_PROMPT_MIN_CHARS 60 the hook entries Shorter prompts never trigger a reminder
CI_CLAIM_TTL_MIN 60 the hook entries Minutes before a stale double-fire claim is pruned
CI_PRUNE_EVERY 25 the hook entries Hook invocations between sweeps of expired claims
CI_QUEUE_NUDGE 1 the hook entries Set to 0 to stop announcing the pending skill-candidate queue
CI_QUEUE_NUDGE_MIN 259200 the hook entries Seconds that must pass before the queue may be announced again
CI_QUEUE_NUDGE_MAX 1209600 the hook entries Seconds after which an unchanged queue is announced anyway
SKILL_COMPOUNDER_USE_LOG 1 the hook entries Set to 0 to stop recording skill invocations in the ledger
CLAIM_GATE 1 the hook entries Set to 0 to switch the end-of-turn claim gate off entirely
CLAIM_GATE_COMMIT 1 the hook entries Set to 0 to keep the gate on the closing message but stop it denying a git commit
CLAIM_GATE_MIN_DIGITS 3 the hook entries Smallest integer width the gate will flag as an unsupported figure
CLAIM_GATE_MAX_SESSION 10 the hook entries Blocks plus denials the gate may spend in one session
SKILL_COMPOUNDER_REPEAT_GATE 1 the hook entries Set to 0 to switch the repeat gate off entirely — it denies nothing and learns nothing
REPEAT_GATE_REFUSE 0 the top-level env block Set to 1 to arm the refusal. Off by default: across 81 recorded sessions it refused nothing, and every signature that reached the threshold was one the gate's own head rules exempt anyway (#27). Learning and recovery are unaffected either way. Two components read it — the gate, and bin/skillrepeat, which says on its own output whether the arm is armed
REPEAT_MIN_SESSIONS 2 the top-level env block Earlier sessions a call must have failed in, the same way, before the next attempt is denied. Three components read it — set it anywhere narrower and they disagree
REPEAT_RECOVERY_WINDOW 5 the hook entries Successful Bash/Skill calls — the only ones this hook is delivered — after which an armed failure stops looking for the call that fixed it
SKILLREPEAT_GATE (resolved from the CLI's own path) the top-level env block Where bin/skillrepeat finds hooks/repeat-gate.sh, so its GATE column asks the gate which calls it would exempt instead of keeping a second copy of the rules. Resolved by following the CLI's own symlinks to the checkout; set it only where that fails
SKILLREPORT_GATE (resolved from the CLI's own path) the top-level env block The same, for bin/skillreport's GATES block. Separately named because the two CLIs install independently of each other
SKILL_COMPOUNDER_DOC_GATE 1 the hook entries Set to 0 to switch the documentation gate off entirely — git push is never denied
DOC_GATE_MAX_COMMITS 100 the hook entries Most commits the gate will read ahead of the remote before it gives up and stays silent
DOC_GATE_CODE_EXCLUDE (empty) the hook entries An ERE; a path matching it counts as neither code nor documentation. ^tests?/ is the first knob to reach for if the gate is too loud
DOC_GATE_NOTES doc the hook entries How a root-level notes/ path counts: doc satisfies the gate, neither neither satisfies nor triggers it. Set neither where notes/ is a dated log written every session rather than a description of behaviour — this repo does, in .claude/settings.json
SKILL_COMPOUNDER_APPLY_GATE 1 the hook entries Set to 0 to switch the apply gate off entirely — a closed forge leaves no debt to answer
APPLY_GATE_WINDOW 86400 the hook entries Seconds after a forge closes during which its apply debt still blocks the turn
SKILL_COMPOUNDER_REMIND 1 the hook entries Set to 0 to switch reminder delivery off entirely — recorded reminders stay on disk and nothing states them back
REMIND_MAX 2 the hook entries Most reminders delivered in one event, highest-scoring first
REMIND_COOLDOWN 0 the hook entries Seconds before a reminder that has fired may fire again in the same session. 0 means once per session
REMIND_MAX_ROWS 2000 the hook entries Lines read from the tail of the reminder store and of the hit log
STATUSLINE_BASE_TTL 5 the statusLine entry Seconds your base status line is cached
SKILLFORGE_IDLE_SECS 2700 the top-level env block Age past which a forge nothing has stepped is called idle. Two components read it — the status line and skillforge list — so setting it anywhere narrower makes them disagree about whether a forge is dead
SKILLFORGE_ACTIVE_TTL 21600 the top-level env block Seconds of idle time, measured since the last step, past which an active forge is presumed dead: skillforge doctor says WARN, skillforge reap writes it the fail row it never got, and start on that name reaps it rather than refusing
STATUSLINE_CACHE_PRUNE_EVERY 200 the statusLine entry Cache misses between sweeps of dead cache entries. The key is a hash of session id and directory, so every session leaves a file; sampled because this runs once a second
SKILL_COMPOUNDER_STATE ~/.claude/skill-compounder the top-level env block Where runtime state lives

Only the eight CI_* variables are read by hooks/compound-improvement.sh; SKILL_COMPOUNDER_USE_LOG is read by hooks/skill-use.sh, which is a hook entry too. The CLAIM_GATE_*, DOC_GATE_* and APPLY_GATE_* variables, and every REPEAT_* one but REPEAT_MIN_SESSIONS, REPEAT_GATE_REFUSE and REPEAT_GATE_NOW, are each read by exactly one script — hooks/claim-gate.sh, hooks/doc-gate.sh, hooks/apply-gate.sh, hooks/repeat-gate.sh — so each belongs on that script's own hook entries and nowhere else. Each of the four gates also takes an off switch, and setting one to 0 disables that gate completely rather than making it quieter. REMIND_MAX, REMIND_COOLDOWN, REMIND_MAX_ROWS and SKILL_COMPOUNDER_REMIND follow the same rule, with hooks/remind.sh as their only reader, so they go on both of its entries — the UserPromptSubmit one and the PreToolUse one — and nowhere else.

REPEAT_MIN_SESSIONS is the exception, and it is the one to get wrong. Three components read it — hooks/repeat-gate.sh, which decides, and bin/skillrepeat and bin/skillreport, which report what it decided:

grep -rlF '${REPEAT_MIN_SESSIONS' hooks bin statusline

Set it on the hook entry alone and the two CLIs keep reporting against the default: a signature that failed in two sessions is listed as refuses while a gate raised to three lets it straight through, and nothing says which of the two is lying. It belongs in the session-wide env block, for the same reason SKILL_COMPOUNDER_STATE does.

REPEAT_GATE_REFUSE is the second exception, and it is the milder one: bin/skillrepeat reads it only to print whether the arm is armed, so setting it on the hook entry alone costs you a footnote rather than a wrong number. Put it in the env block anyway and the two cannot disagree at all.

REPEAT_GATE_NOW has two readers for a narrower reason: it is a test clock, and bin/skillrepeat falls back to it when SKILLREPEAT_NOW is unset so the CLI and the gate cannot disagree about what time it is inside one test. Neither belongs in a real config. SKILLREPEAT_GATE and SKILLREPORT_GATE are not gate variables despite the name: each is read by one CLI, to find hooks/repeat-gate.sh when following its own symlinks back to the checkout has not worked. Setting either on a hook entry does nothing. STATUSLINE_BASE_TTL and STATUSLINE_CACHE_PRUNE_EVERY are read by statusline/statusline.sh, so setting either on a hook entry does nothing. SKILL_COMPOUNDER_STATE is read by the hooks, the CLIs and the status line alike, so it belongs in the session-wide env block. Set it anywhere narrower and they disagree about where state lives.

Both hook thresholds are unvalidated. CI_EDIT_EVERY=12 and CI_PROMPT_COOLDOWN=1200 were picked by judgement and nothing has measured them since. skillreport is the instrument that would settle them, and it needs real usage across several repos over real time before either number should move. Until then, tuning them is guesswork with extra steps. The skill's own threshold is deliberately not a number: a duration is a judgement a session can talk itself past, so it asks for a nameable dead end and a second occurrence instead.

The one adjustment worth making without data: if a reminder fires often enough that you learn to read past it, raise CI_EDIT_EVERY and CI_PROMPT_COOLDOWN. By that point it has stopped doing anything for you, and it will keep looking like it works.


Uninstall

./uninstall.sh
# or:  curl -fsSL https://raw.githubusercontent.com/ContextLab/claude-skill-compounder/main/uninstall.sh | bash

Removes our hooks, leaving other tools' hooks alone, then restores your original status line and removes the symlinks. Runtime state is left intact; delete it with rm -rf ~/.claude/skill-compounder.

The curl form works whichever way you installed: with no checkout beside it, the script reads ~/.claude/skill-compounder/install-manifest.json to find the one you used. If that checkout has been deleted, clone the repo and run ./uninstall.sh from the clone — the manifest still identifies the links the old checkout made, so they are removed rather than disowned.


Development

./run_tests.sh

No mocks, anywhere: real temporary Claude directories, real settings.json files, real subprocess invocations of the shell scripts, real git repositories built and then destroyed to prove the destructive-op fixtures, a real virtual environment to prove the stale-import one, and live gh queries against a repo with thousands of pull requests in every state. The gh tests skip cleanly when it is absent or unauthenticated; nothing else does.

The suite never spends a model call. The acceptance journey that does — one pass through install, note, reminder, capture, forge, route, apply, report and uninstall against a throwaway Claude config — is a script you run by hand, never in CI: python3 tests/e2e/journey.py --out <a fresh dir>, six claude -p calls on your own subscription, or --no-model to rehearse it for nothing. It is the gate a release tag waits on: docs/e2e.md.

CI runs the suite on both ubuntu and macos, because macOS ships bash 3.2 and that is where this repo's shell portability traps actually bite. It also runs claude plugin validate --strict, which is what marketplace review runs.

docs/CLAUDE-CODE-BEHAVIOR.md records the verified Claude Code behavior the implementation depends on, each entry established by running it: skills hot-reloading mid-session, how far subagent dispatch nests, what a plugin cannot carry, what the skill loader does with broken frontmatter, and why both install paths would otherwise double-fire every hook. It is written for anyone building on Claude Code, not only for this package. docs/DESIGN.md is the local rationale: why the forge keys on a name, why the status line rotates, and the shell traps that bite on macOS.

The animation at the top is a recording, not a live run: the session chrome is redrawn and the subagents are not re-run. The progress bar is the real status line, driven by the real state file. Regenerate it with vhs:

brew install vhs
./dev/generate_media.sh      # runs dev/forge_demo.sh under dev/forge.tape

License

MIT. See LICENSE.

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Add a hook that continually asks Claude to spin off insights and discoveries into new skills

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